The roof maintenance problem — a fuzzy expert system

Author: Moyle, Sam A; Watts, Mike

Date: 2001

Publisher: University of Otago

Type: Unclassified

Link to this item using this URL: http://hdl.handle.net/10523/1449

University of Otago

Abstract

Roof maintenance is an issue that has ongoing ramifications for property owners, all over the world. Determining accurately what maintenance should be taken is difficult, with often-conflicting evidence further complicating the task. A system has been developed for use by Roof Maintenance Experts. The expert can input information about the condition of the roof then a Fuzzy Neural Network makes an assessment, returning probable roof maintenance options. This is a non-trivial problem from the realworld domain. Often, many combinations of possible maintenance can occur and, as individual parameters change, so does the prime (or most important) option. A fuzzy neural network system was developed for assessment, running on a handheld device that could be taken into the field by a roof maintenance expert.

Subjects: fuzzy systems, GUI, integration, roof maintenance, expert system, Fuzzy Neural Network, QA75 Electronic computers. Computer science, QA76 Computer software

Citation: ["Moyle, S. A., & Watts, M. (2001). The roof maintenance problem — a fuzzy expert system. University of Otago."]